Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2022.118684
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Mostafaei, Hossein & Castro, Pedro M. & Relvas, Susana & Harjunkoski, Iiro, 2021. "A holistic MILP model for scheduling and inventory management of a multiproduct oil distribution system," Omega, Elsevier, vol. 98(C).
- Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
- Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
- Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
- Zhang, Jun & Osmani, Atif & Awudu, Iddrisu & Gonela, Vinay, 2013. "An integrated optimization model for switchgrass-based bioethanol supply chain," Applied Energy, Elsevier, vol. 102(C), pages 1205-1217.
- Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
- Moretti, Luca & Milani, Mario & Lozza, Giovanni Gustavo & Manzolini, Giampaolo, 2021. "A detailed MILP formulation for the optimal design of advanced biofuel supply chains," Renewable Energy, Elsevier, vol. 171(C), pages 159-175.
- Chiaramonti, David & Talluri, Giacomo & Scarlat, Nicolae & Prussi, Matteo, 2021. "The challenge of forecasting the role of biofuel in EU transport decarbonisation at 2050: A meta-analysis review of published scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
- Meira, William Hitoshi Tsunoda & Magatão, Leandro & Relvas, Susana & Barbosa-Póvoa, Ana Paula & Neves, Flávio & Arruda, Lúcia V.R., 2018. "A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system," European Journal of Operational Research, Elsevier, vol. 268(2), pages 665-687.
- Asadi, Ehsan & Habibi, Farhad & Nickel, Stefan & Sahebi, Hadi, 2018. "A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain," Applied Energy, Elsevier, vol. 228(C), pages 2235-2261.
- Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
- Akhtari, Shaghaygh & Sowlati, Taraneh & Griess, Verena C., 2018. "Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations," Applied Energy, Elsevier, vol. 213(C), pages 626-638.
- Ren, Jingzheng & An, Da & Liang, Hanwei & Dong, Liang & Gao, Zhiqiu & Geng, Yong & Zhu, Qinghua & Song, Shaoxian & Zhao, Wenhui, 2016. "Life cycle energy and CO2 emission optimization for biofuel supply chain planning under uncertainties," Energy, Elsevier, vol. 103(C), pages 151-166.
- Yuan, Meng & Zhang, Haoran & Wang, Bohong & Zhang, Yang & Zhou, Xingyuan & Liang, Yongtu, 2020. "Future scenario of China's downstream oil reform: Improving the energy-environmental efficiency of the pipeline networks through interconnectivity," Energy Policy, Elsevier, vol. 140(C).
- Liu, Zhexuan & Qiu, Tong & Chen, Bingzhen, 2014. "A study of the LCA based biofuel supply chain multi-objective optimization model with multi-conversion paths in China," Applied Energy, Elsevier, vol. 126(C), pages 221-234.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xuwei Tang & Qi Zhang & Chunxin Li & Haitao Zhang & Haiyun Xu, 2023. "The Effects and Driving Factors of Low-Carbon Transition of International Oil Companies: Evidence from a Super-SBM Model," Energies, MDPI, vol. 17(1), pages 1-19, December.
- Rahimi, Mohammad & Mashhadimoslem, Hossein & Vo Thanh, Hung & Ranjbar, Benyamin & Safarzadeh Khosrowshahi, Mobin & Rohani, Abbas & Elkamel, Ali, 2023. "Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques," Energy, Elsevier, vol. 283(C).
- Tu, Renfu & Jiao, Yingqi & Qiu, Rui & Liao, Qi & Xu, Ning & Du, Jian & Liang, Yongtu, 2023. "Energy saving and consumption reduction in the transportation of petroleum products: A pipeline pricing optimization perspective," Applied Energy, Elsevier, vol. 342(C).
- Hong, Bingyuan & Qiao, Dan & Li, Yichen & Sun, Xiaoqing & Yang, Baolong & Li, Li & Gong, Jing & Wen, Kai, 2023. "Supply-demand balance of natural gas pipeline network integrating hydraulic and thermal characteristics, energy conservation and carbon reduction," Energy, Elsevier, vol. 283(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Guo, Changqiang & Hu, Hao & Wang, Shaowen & Rodriguez, Luis F. & Ting, K.C. & Lin, Tao, 2022. "Multiperiod stochastic programming for biomass supply chain design under spatiotemporal variability of feedstock supply," Renewable Energy, Elsevier, vol. 186(C), pages 378-393.
- Farajiamiri, Mina & Meyer, Jörn-Christian & Walther, Grit, 2023. "Multi-objective optimization of renewable fuel supply chains regarding cost, land use, and water use," Applied Energy, Elsevier, vol. 349(C).
- Henrique Piqueiro & Reinaldo Gomes & Romão Santos & Jorge Pinho de Sousa, 2023. "Managing Disruptions in a Biomass Supply Chain: A Decision Support System Based on Simulation/Optimisation," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
- Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).
- Edgar Gutierrez-Franco & Andres Polo & Nicolas Clavijo-Buritica & Luis Rabelo, 2021. "Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
- Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
- Haji Esmaeili, Seyed Ali & Szmerekovsky, Joseph & Sobhani, Ahmad & Dybing, Alan & Peterson, Tim O., 2020. "Sustainable biomass supply chain network design with biomass switching incentives for first-generation bioethanol producers," Energy Policy, Elsevier, vol. 138(C).
- Rendon-Sagardi, Miguel A. & Sanchez-Ramirez, Cuauhtemoc & Cortes-Robles, Guillermo & Alor-Hernandez, Giner & Cedillo-Campos, Miguel G., 2014. "Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico," Applied Energy, Elsevier, vol. 123(C), pages 358-367.
- Gilani, H. & Sahebi, H. & Oliveira, Fabricio, 2020. "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, Elsevier, vol. 278(C).
- Wang, Guotao & Liao, Qi & Wang, Chang & Liang, Yongtu & Zhang, Haoran, 2022. "Multiperiod optimal planning of biofuel refueling stations: A bi-level game-theoretic approach," Renewable Energy, Elsevier, vol. 200(C), pages 1152-1165.
- Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
- Santibañez-Aguilar, José Ezequiel & Quiroz-Ramírez, Juan José & Sánchez-Ramírez, Eduardo & Segovia-Hernández, Juan Gabriel & Flores-Tlacuahuac, Antonio & Ponce-Ortega, José María, 2022. "Marginalization index as social measure for Acetone-Butanol-Ethanol supply chain planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
- Hoo Poh Ying & Cassendra Bong Phun Chien & Fan Yee Van, 2020. "Operational Management Implemented in Biofuel Upstream Supply Chain and Downstream International Trading: Current Issues in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-26, April.
- Hugo Guzmán-Bello & Iosvani López-Díaz & Miguel Aybar-Mejía & Jose Atilio de Frias, 2022. "A Review of Trends in the Energy Use of Biomass: The Case of the Dominican Republic," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
- Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
- Mondal, Arijit & Giri, Binoy Krishna & Roy, Sankar Kumar, 2023. "An integrated sustainable bio-fuel and bio-energy supply chain: A novel approach based on DEMATEL and fuzzy-random robust flexible programming with Me measure," Applied Energy, Elsevier, vol. 343(C).
- Wolff, Michael & Becker, Tristan & Walther, Grit, 2023. "Long-term design and analysis of renewable fuel supply chains – An integrated approach considering seasonal resource availability," European Journal of Operational Research, Elsevier, vol. 304(2), pages 745-762.
- Lixia H. Lambert & Eric A. DeVuyst & Burton C. English & Rodney Holcomb, 2021. "Analyzing the Trade-Offs between Meeting Biorefinery Production Capacity and Feedstock Supply Cost: A Chance Constrained Approach," Energies, MDPI, vol. 14(16), pages 1-13, August.
- Razm, Sobhan & Brahimi, Nadjib & Hammami, Ramzi & Dolgui, Alexandre, 2023. "A production planning model for biorefineries with biomass perishability and biofuel transformation," International Journal of Production Economics, Elsevier, vol. 258(C).
- Azadeh, Ali & Vafa Arani, Hamed, 2016. "Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach," Renewable Energy, Elsevier, vol. 93(C), pages 383-403.
More about this item
Keywords
Biofuels; Refined products; Pipeline; Surplus capacity; Economic-environmental benefits;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:311:y:2022:i:c:s0306261922001490. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.